Training on 2D processing
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start ImageJ
open pic1.jpg
turn it grayscale: Image / Type / 8bit
descrease noise by threshold: Image / Adjust / Threshold
  select Black & White from menu and move with low and high end of range
  to emphasize the seen objects. Then Apply and close the threshold window
make the image binary: Process / Binary / Make binary
if the picture contains now black object on white background,
change it to white object on black background: Image / Lookup Tables / Invert LUT
Try to eliminate holes in object by Process / Binary / Dilate
and Process / Binary / Erode
Try Process / Binary / Skeletonize

restart ImageJ
open pic1.jpg
start segmentation to 2 colors by Plugins / Segmentation / k-means clustering 
  (select two colors)
return to the opened pic1.jpg and three time apply Process /Smooth
then again parform the same segmentation 
compare the two segmented images and select better

restart ImageJ
open pic2.jpg
apply Process / Filters / Gaussian Blur / 1.0
apply Process / Find edges
apply Process / Binary / Make Binary
apply thinning by Process / Binary / Skeletonize

start Octave or Matlab
change directory to directory with this training by cd
launch tr2 

